Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Accra

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.1	2
motorcycle	7	0	0.7	0.2	8
car	72	11	0	2	85
bus	34	7	4	0	45
truck	16	6	8	6	35
other	3	0.5	0.7	0.2	4
unknown	18	0.9	0.5	0	19
NOV	0.3	4	17	8	30
Total	150	30	32	17	228

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.12	3
motorcycle	9	0	0.67	0.19	10
car	90	10	0	2	103
bus	43	7	3	0	53
truck	20	6	8	6	39
other	3	0.49	0.69	0.2	5
unknown	23	0.88	0.49	0	24
NOV	0.38	4	17	8	29
Total	189	30	31	16	266

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.88	0.99	0.09	2
motorcycle	7	0	0.63	0.18	7
car	64	10	0	2	76
bus	31	6	3	0	41
truck	15	5	7	5	33
other	2	0.42	0.6	0.17	3
unknown	16	0.83	0.47	0	18
NOV	0.28	4	16	8	29
Total	135	28	30	16	209

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.58	1	0.06	2
motorcycle	4	0	0.63	0.11	5
car	75	11	0	2	88
bus	19	4	3	0	26
truck	11	4	9	4	28
other	2	0.27	0.62	0.1	3
unknown	12	0.61	0.55	0	14
NOV	0.23	3	22	6	31
Total	123	23	36	12	195

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	7	0.31	0.03	7
motorcycle	52	0	4	1	57
car	20	51	0	0.45	71
bus	9	33	0.72	0	43
truck	8	49	3	2	62
other	0.63	2	0.12	0.03	3
unknown	9	8	0.18	0	17
NOV	0.19	40	8	4	51
Total	100	189	16	7	312

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	1	0.1	2
motorcycle	7	0	0.69	0.2	8
car	72	11	0	2	85
bus	34	7	4	0	45
truck	16	6	8	6	35
other	3	0.5	0.7	0.2	4
unknown	18	0.9	0.5	0	19
NOV	0.3	4	17	8	30
Total	151	30	32	17	229

Bangalore

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	3	0	0	0	3
cycle	0	0	1	0	0	0	1
motorcycle	119	3	0	3	0	0	125
car	87	7	47	0	0	4	145
bus	39	1	59	4	0	3	106
truck	62	4	102	7	4	8	187
unknown	66	6	18	2	0	0	92
NOV			72	10	14	3	99
Total	373	21	302	26	18	18	758

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	4	0	0	0	4
cycle	0	0	0.79	0	0	0	0.79
motorcycle	156	2	0	3	0	0	161
car	115	6	43	0	0	3	167
bus	51	0.79	54	4	0	3	113
truck	85	3	98	7	4	7	203
unknown	90	5	17	2	0	0	114
NOV			69	10	13	3	95
Total	497	17	287	25	17	16	858

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	3	0	0	0	3
cycle	0	0	2	0	0	0	2
motorcycle	111	6	0	3	0	0	121
car	81	15	44	0	0	4	144
bus	37	2	55	4	0	3	101
truck	60	9	99	7	4	8	186
unknown	64	13	17	2	0	0	96
NOV			70	10	14	3	96
Total	353	46	290	25	17	17	748

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	1	0	0	0	1
cycle	0	0	0.33	0	0	0	0.33
motorcycle	49	0.99	0	10	0	0	60
car	392	25	153	0	0	13	584
bus	16	0.34	18	13	0	0.94	49
truck	47	2	55	41	2	4	153
unknown	50	4	10	12	0	0	75
NOV			39	60	8	2	108
Total	554	33	277	136	10	21	1030

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	3	0	0	0	3
cycle	0	0	1	0	0	0	1
motorcycle	123	3	0	3	0	0	129
car	80	6	46	0	0	4	136
bus	36	0.92	58	3	0	3	101
truck	61	4	108	7	4	8	190
unknown	65	6	19	2	0	0	92
NOV			76	9	13	3	101
Total	364	20	311	24	17	17	753

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
pedestrian	0	0	2	0	0	0	2
cycle	0	0	0.52	0	0	0	0.52
motorcycle	82	2	0	1	0	0	85
car	58	4	17	0	0	2	81
bus	73	1	60	4	0	4	143
truck	70	3	63	4	7	6	153
unknown	74	5	11	1	0	0	92
NOV			44	6	23	2	76
Total	358	15	198	16	30	13	632

Belo Horizonte

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	58	0	0.82	0	59
car	69	43	0	0.57	112
bus	56	42	24	0	122
rail	5	0	0.27	0.38	5
other	0.27	0.63	0	0	0.9
NOV		61	81	5	147
Total	188	148	106	6	449

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	3	0	0	3
motorcycle	79	0	0.75	0	80
car	91	40	0	0.53	131
bus	77	40	22	0	139
rail	7	0	0.25	0.37	7
other	0.37	0.61	0	0	0.99
NOV		60	77	5	141
Total	254	142	100	6	502

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	53	0	0.75	0	53
car	62	39	0	0.52	102
bus	51	39	22	0	112
rail	4	0	0.25	0.37	5
other	0.25	0.6	0	0	0.85
NOV		59	77	5	141
Total	170	139	101	6	416

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	0	0	1
motorcycle	32	0	1	0	33
car	102	53	0	0.71	156
bus	31	19	30	0	81
rail	3	0	0.45	0.24	4
other	0.2	0.39	0	0	0.59
NOV		41	149	3	193
Total	168	115	180	4	468

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	12	0	0	12
motorcycle	352	0	4	0	356
car	21	199	0	0.12	220
bus	16	176	5	0	197
rail	3	0	0.11	0.15	3
other	0.15	5	0	0	5
NOV		583	40	2	625
Total	392	975	49	2	1417

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	2	0	0	2
motorcycle	58	0	0.81	0	59
car	68	43	0	0.57	112
bus	57	42	24	0	123
rail	5	0	0.27	0.39	5
other	0.27	0.63	0	0	0.9
NOV		61	81	5	147
Total	188	148	106	6	448

Bogota

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.78	3	0	0.34	0	4
cycle	3	0	2	0	0	0	4
motorcycle	80	3	0	0.28	0	0	83
car	107	16	47	0	0.33	0.17	170
bus	61	17	32	2	0	0	112
truck	13	6	19	0.81	0	0.83	39
unknown	8	0.17	0	0	0	0	8
NOV		0.5	36	16	8		61
Total	272	42	138	20	8	1	481

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.78	3	0	0.35	0	4
cycle	3	0	2	0	0	0	4
motorcycle	82	3	0	0.28	0	0	85
car	108	15	47	0	0.33	0.17	171
bus	62	17	32	2	0	0	113
truck	14	5	19	0.81	0	0.83	39
unknown	8	0.16	0	0	0	0	8
NOV		0.49	36	16	8		61
Total	276	41	138	20	8	1	485

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.78	3	0	0.34	0	4
cycle	3	0	2	0	0	0	4
motorcycle	80	3	0	0.28	0	0	83
car	107	16	47	0	0.33	0.17	170
bus	61	17	32	2	0	0	112
truck	13	6	19	0.81	0	0.83	39
unknown	8	0.17	0	0	0	0	8
NOV		0.5	36	16	8		61
Total	272	42	138	20	8	1	481

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.36	1	0	0.15	0	2
cycle	1	0	0.67	0	0	0	2
motorcycle	36	1	0	0.43	0	0	38
car	178	25	73	0	0.52	0.4	277
bus	27	7	13	4	0	0	52
truck	9	4	12	2	0	0.83	28
unknown	5	0.09	0	0	0	0	5
NOV		0.33	23	40	5		68
Total	257	38	124	46	6	1	471

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.25	8	0	0.1	0	8
cycle	0.83	0	3	0	0	0	4
motorcycle	201	6	0	0.56	0	0	207
car	31	4	95	0	0.08	0.08	130
bus	18	4	64	0.56	0	0	86
truck	8	3	78	0.39	0	0.82	90
unknown	4	0.07	0	0	0	0	4
NOV		0.26	150	8	4		162
Total	262	18	397	10	4	0.9	691

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	truck	rowSum
pedestrian	0	0.78	3	0	0.34	0	4
cycle	3	0	2	0	0	0	4
motorcycle	81	3	0	0.28	0	0	83
car	107	16	47	0	0.33	0.17	170
bus	61	17	32	2	0	0	112
truck	13	5	19	0.81	0	0.83	39
unknown	8	0.17	0	0	0	0	8
NOV		0.5	36	16	8		61
Total	272	42	138	20	8	1	481

Buenos Aires

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	638	41	130	366	14	1189
Total	638	41	130	366	14	1189

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	802	38	126	358	14	1338
Total	802	38	126	358	14	1338

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	620	97	127	356	14	1214
Total	620	97	127	356	14	1214

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	450	28	79	637	9	1203
Total	450	28	79	637	9	1203

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	380	24	1288	168	6	1866
Total	380	24	1288	168	6	1866

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	810	32	83	243	18	1186
Total	810	32	83	243	18	1186

Cape Town

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	6	0	7
motorcycle	8	0	2	0	10
car	302	36	0	18	356
bus	61	6	34	0	101
truck	26	1	10	0.5	38
other	4	2	4	0.5	11
unknown	15	2	12	0	29
NOV		0	169	4	174
Total	416	48	238	23	726

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	7	0	8
motorcycle	10	0	2	0	12
car	379	35	0	17	431
bus	77	6	32	0	115
truck	33	1	10	0.49	45
other	6	2	4	0.49	12
unknown	20	1	12	0	33
NOV		0	165	4	170
Total	524	47	232	22	825

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	5	0	6
motorcycle	7	0	2	0	10
car	273	34	0	16	323
bus	54	6	30	0	90
truck	24	1	10	0.47	36
other	4	2	4	0.47	10
unknown	14	1	11	0	27
NOV		0	162	4	166
Total	377	46	225	21	668

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	1	6	0	7
motorcycle	8	0	2	0	10
car	302	36	0	18	356
bus	61	6	34	0	101
truck	26	1	10	0.5	38
other	4	2	4	0.5	11
unknown	15	2	12	0	29
NOV		0	169	4	174
Total	416	49	238	23	725

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	21	2	0	23
motorcycle	199	0	39	0	238
car	90	467	0	4	561
bus	16	74	6	0	96
truck	17	35	5	0.22	56
other	3	49	2	0.22	54
unknown	10	42	5	0	57
NOV		0	76	2	77
Total	335	687	134	6	1163

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0.5	4	0	4
motorcycle	3	0	0.44	0	4
car	217	8	0	20	246
bus	122	4	34	0	160
truck	32	0.47	6	0.99	39
other	6	0.66	3	0.99	10
unknown	19	0.56	7	0	27
NOV		0	101	8	109
Total	398	14	155	30	598

Delhi

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	82	8	0	2	1	2	95
car	200	35	141	0	2	13	391
bus	61	15	60	6	0	3	145
truck	95	25	139	25	1	8	293
unknown	427	30	260	21	0	10	748
NOV			82	68	5	6	161
Total	865	113	682	122	9	42	1833

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	109	7	0	2	0.91	2	121
car	276	31	130	0	2	11	449
bus	84	13	55	6	0	2	160
truck	134	23	131	24	0.97	7	320
unknown	603	27	246	20	0	9	905
NOV			78	66	5	5	154
Total	1206	100	640	118	9	35	2109

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	80	10	0	2	0.99	2	94
car	196	42	139	0	2	13	392
bus	60	18	59	6	0	3	146
truck	93	30	138	25	1	8	295
unknown	420	36	258	21	0	10	744
NOV			81	68	5	6	160
Total	849	135	676	121	9	42	1831

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	40	4	0	2	0.41	0.87	47
car	266	42	157	0	2	15	483
bus	29	7	24	7	0	1	68
truck	71	17	87	43	0.62	5	224
unknown	320	20	163	36	0	7	546
NOV			53	118	3	4	178
Total	727	90	485	206	6	34	1548

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	125	11	0	2	1	3	142
car	103	15	175	0	0.73	6	300
bus	28	6	68	2	0	1	106
truck	75	17	267	15	0.56	6	381
unknown	338	21	499	13	0	7	877
NOV			161	43	3	4	211
Total	669	70	1169	76	5	27	2016

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	auto_rickshaw	rowSum
motorcycle	77	6	0	1	1	1	87
car	186	26	100	0	2	9	324
bus	101	20	76	7	0	4	208
truck	109	23	121	22	2	7	283
unknown	488	27	227	18	0	9	769
NOV			70	57	7	5	139
Total	961	102	593	105	13	35	1810

Mexico City

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	638	41	130	366	14	1189
Total	638	41	130	366	14	1189

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	842	36	124	354	13	1371
Total	842	36	124	354	13	1371

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	610	170	125	355	14	1273
Total	610	170	125	355	14	1273

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	493	27	85	640	9	1254
Total	493	27	85	640	9	1254

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	441	23	1597	168	7	2236
Total	441	23	1597	168	7	2236

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
NOV	694	35	103	291	18	1141
Total	694	35	103	291	18	1141

Santiago

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.75	0	0.75
motorcycle	3	0	0.25	0	4
car	50	14	0	1	65
bus	36	4	10	0	51
truck	16	8	6	0.25	30
unknown	5	1	0	0	6
NOV	4	16	52	4	76
Total	115	42	70	5	232

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	1	0	1
motorcycle	4	0	0.23	0	5
car	68	12	0	0.93	81
bus	51	4	10	0	64
truck	23	7	6	0.24	37
unknown	7	0.96	0	0	8
NOV	6	15	49	4	74
Total	159	39	67	5	269

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.68	0	0.68
motorcycle	3	0	0.23	0	3
car	45	12	0	0.92	58
bus	33	3	10	0	46
truck	15	7	6	0.24	29
unknown	5	0.95	0	0	6
NOV	4	15	50	4	72
Total	105	39	66	5	215

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	1	0	1
motorcycle	2	0	0.29	0	2
car	71	16	0	1	88
bus	19	2	12	0	33
truck	13	5	11	0.16	29
unknown	4	0.65	0	0	5
NOV	3	10	92	3	109
Total	112	33	118	4	267

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.23	0	0.23
motorcycle	21	0	1	0	23
car	15	67	0	0.21	82
bus	10	17	2	0	30
truck	10	76	3	0.11	90
unknown	3	10	0	0	13
NOV	3	163	25	2	192
Total	63	334	32	2	430

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
pedestrian	0	0	0.75	0	0.75
motorcycle	3	0	0.25	0	4
car	50	13	0	1	64
bus	37	4	11	0	51
truck	16	8	6	0.25	31
unknown	5	1	0	0	6
NOV	4	16	52	4	75
Total	115	41	70	5	232

Sao Paulo

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	59	0	3	2	64
car	157	117	0	2	276
bus	74	61	20	0	155
truck	30	62	13	0.4	106
other	0.4	0.6	0	0	1
NOV	2	171	124	5	302
Total	323	411	160	9	904

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	77	0	3	2	81
car	201	112	0	2	316
bus	95	59	19	0	173
truck	40	61	13	0.39	114
other	0.52	0.59	0	0	1
NOV	3	167	121	5	296
Total	415	401	156	9	982

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	53	0	3	1	58
car	141	107	0	2	250
bus	67	56	18	0	141
truck	28	60	13	0.39	101
other	0.36	0.54	0	0	0.9
NOV	2	163	119	5	289
Total	292	387	152	9	840

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	33	0	3	0.82	37
car	193	133	0	3	328
bus	40	31	20	0	92
truck	23	44	19	0.29	86
other	0.26	0.36	0	0	0.62
NOV	2	123	228	4	357
Total	291	331	271	7	901

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	353	0	15	7	375
car	43	426	0	0.45	470
bus	19	215	4	0	239
truck	18	490	6	0.18	514
other	0.09	2	0	0	2
NOV	1	1645	58	2	1707
Total	435	2779	83	10	3307

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	motorcycle	car	bus	rowSum
motorcycle	60	0	3	2	65
car	158	116	0	2	276
bus	75	61	20	0	156
truck	31	62	13	0.4	106
other	0.4	0.6	0	0	1
NOV	2	170	123	5	301
Total	325	410	160	9	905

Vizag

Baseline WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	62	4	0	0	0	67
car	33	4	19	0	0	56
bus	20	3	15	0	0	38
truck	40	10	52	4	0.33	107
other	0.33	0	0	0	0	0.33
unknown	18	3	5	0	0	25
NOV			50	8	5	63
Total	173	24	141	12	5	355

Walking WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	91	3	0	0	0	94
car	48	3	17	0	0	68
bus	31	2	13	0	0	46
truck	63	8	49	4	0.32	124
other	0.52	0	0	0	0	0.52
unknown	28	2	5	0	0	35
NOV			47	7	5	59
Total	261	19	130	11	5	427

Bicycling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	60	7	0	0	0	67
car	32	6	18	0	0	56
bus	20	5	14	0	0	38
truck	39	16	51	4	0.33	111
other	0.33	0	0	0	0	0.33
unknown	17	4	5	0	0	26
NOV			49	7	5	61
Total	168	38	138	12	5	360

Driving WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	24	1	0	0	0	26
car	276	27	123	0	0	427
bus	8	0.9	4	0	0	13
truck	28	6	29	53	0.17	116
other	0.24	0	0	0	0	0.24
unknown	13	2	3	0	0	17
NOV			28	89	2	119
Total	349	37	187	143	3	718

Motorcyling WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	114	7	0	0	0	121
car	19	2	23	0	0	45
bus	12	1	18	0	0	31
truck	37	8	103	3	0.2	151
other	0.31	0	0	0	0	0.31
unknown	16	2	10	0	0	28
NOV			100	5	3	107
Total	198	21	254	8	3	484

Public Transport WHW

Strike Mode	Casualty Mode
mode	pedestrian	cycle	motorcycle	car	bus	rowSum
motorcycle	55	3	0	0	0	59
car	29	3	14	0	0	46
bus	22	3	14	0	0	39
truck	41	9	45	4	0.36	100
other	0.34	0	0	0	0	0.34
unknown	18	2	4	0	0	25
NOV			44	7	5	55
Total	167	21	121	10	5	324

Who hit whom matrix for all case cities

Baseline scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Baseline	0	0	0	4	3	8	0	0	0	3	18
auto_rickshaw	delhi	Baseline	0	0	2	13	3	8	0	0	10	6	42

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Baseline	0.1	0	0.2	2	0	6	0	0.2	0	8	17
	bangalore		0	0	0	0	0	4	0	0	0	14	18
	belo_horizonte		0	0	0	0.57	0	0	0.38	0	0	5	6
	bogota		0.34	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	14	14
	cape_town		0	0	0	18	0	0.5	0	0.5	0	4	23
	delhi		0	0	1	2	0	1	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	14	14
	santiago		0	0	0	1	0	0.25	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.4	0	0	0	5	9
	vizag		0	0	0	0	0	0.33	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Baseline	1	0	0.7	0	4	8	0	0.7	0.5	17	32
	bangalore		0	0	3	0	4	7	0	0	2	10	26
	belo_horizonte		0	0	0.82	0	24	0	0.27	0	0	81	106
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	366	366
	cape_town		6	0	2	0	34	10	0	4	12	169	238
	delhi		0	0	2	0	6	25	0	0	21	68	122
	mexico_city		0	0	0	0	0	0	0	0	0	366	366
	santiago		0.75	0	0.25	0	10	6	0	0	0	52	70
	sao_paulo		0	0	3	0	20	13	0	0	0	124	160
	vizag		0	0	0	0	0	4	0	0	0	8	12

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Baseline	0	0	3	7	1	4	0	0	6	0	21
	bogota		0.78	0	3	16	17	6	0	0	0.17	0.5	42
	buenos_aires		0	0	0	0	0	0	0	0	0	41	41
	delhi		0	0	8	35	15	25	0	0	30	0	113
	mexico_city		0	0	0	0	0	0	0	0	0	41	41
	vizag		0	0	4	4	3	10	0	0	3	0	24

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Baseline	1	0	0	11	7	6	0	0.5	0.9	4	30
	bangalore		3	1	0	47	59	102	0	0	18	72	302
	belo_horizonte		2	0	0	43	42	0	0	0.63	0	61	148
	bogota		3	2	0	47	32	19	0	0	0	36	138
	buenos_aires		0	0	0	0	0	0	0	0	0	130	130
	cape_town		1	0	0	36	6	1	0	2	2	0	48
	delhi		0	0	0	141	60	139	0	0	260	82	682
	mexico_city		0	0	0	0	0	0	0	0	0	130	130
	santiago		0	0	0	14	4	8	0	0	1	16	42
	sao_paulo		0	0	0	117	61	62	0	0.6	0	171	411
	vizag		0	0	0	19	15	52	0	0	5	50	141

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Baseline	0	0	7	72	34	16	0	3	18	0.3	150
	bangalore		0	0	119	87	39	62	0	0	66	0	373
	belo_horizonte		0	0	58	69	56	0	5	0.27	0	0	188
	bogota		0	3	80	107	61	13	0	0	8	0	272
	buenos_aires		0	0	0	0	0	0	0	0	0	638	638
	cape_town		0	0	8	302	61	26	0	4	15	0	416
	delhi		0	0	82	200	61	95	0	0	427	0	865
	mexico_city		0	0	0	0	0	0	0	0	0	638	638
	santiago		0	0	3	50	36	16	0	0	5	4	115
	sao_paulo		0	0	59	157	74	30	0	0.4	0	2	323
	vizag		0	0	62	33	20	40	0	0.33	18	0	173

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Baseline	0	0	0	0.17	0	0.83	0	0	0	0	1

Walking scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Walking	0	0	0	3	3	7	0	0	0	3	16
auto_rickshaw	delhi	Walking	0	0	2	11	2	7	0	0	9	5	35

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Walking	0.12	0	0.19	2	0	6	0	0.2	0	8	16
	bangalore		0	0	0	0	0	4	0	0	0	13	17
	belo_horizonte		0	0	0	0.53	0	0	0.37	0	0	5	6
	bogota		0.35	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	14	14
	cape_town		0	0	0	17	0	0.49	0	0.49	0	4	22
	delhi		0	0	0.91	2	0	0.97	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	13	13
	santiago		0	0	0	0.93	0	0.24	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.39	0	0	0	5	9
	vizag		0	0	0	0	0	0.32	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Walking	1	0	0.67	0	3	8	0	0.69	0.49	17	31
	bangalore		0	0	3	0	4	7	0	0	2	10	25
	belo_horizonte		0	0	0.75	0	22	0	0.25	0	0	77	100
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	358	358
	cape_town		7	0	2	0	32	10	0	4	12	165	232
	delhi		0	0	2	0	6	24	0	0	20	66	118
	mexico_city		0	0	0	0	0	0	0	0	0	354	354
	santiago		1	0	0.23	0	10	6	0	0	0	49	67
	sao_paulo		0	0	3	0	19	13	0	0	0	121	156
	vizag		0	0	0	0	0	4	0	0	0	7	11

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Walking	0	0	2	6	0.79	3	0	0	5	0	17
	bogota		0.78	0	3	15	17	5	0	0	0.16	0.49	41
	buenos_aires		0	0	0	0	0	0	0	0	0	38	38
	delhi		0	0	7	31	13	23	0	0	27	0	100
	mexico_city		0	0	0	0	0	0	0	0	0	36	36
	vizag		0	0	3	3	2	8	0	0	2	0	19

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Walking	1	0	0	10	7	6	0	0.49	0.88	4	30
	bangalore		4	0.79	0	43	54	98	0	0	17	69	287
	belo_horizonte		3	0	0	40	40	0	0	0.61	0	60	142
	bogota		3	2	0	47	32	19	0	0	0	36	138
	buenos_aires		0	0	0	0	0	0	0	0	0	126	126
	cape_town		1	0	0	35	6	1	0	2	1	0	47
	delhi		0	0	0	130	55	131	0	0	246	78	640
	mexico_city		0	0	0	0	0	0	0	0	0	124	124
	santiago		0	0	0	12	4	7	0	0	0.96	15	39
	sao_paulo		0	0	0	112	59	61	0	0.59	0	167	401
	vizag		0	0	0	17	13	49	0	0	5	47	130

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Walking	0	0	9	90	43	20	0	3	23	0.38	189
	bangalore		0	0	156	115	51	85	0	0	90	0	497
	belo_horizonte		0	0	79	91	77	0	7	0.37	0	0	254
	bogota		0	3	82	108	62	14	0	0	8	0	276
	buenos_aires		0	0	0	0	0	0	0	0	0	802	802
	cape_town		0	0	10	379	77	33	0	6	20	0	524
	delhi		0	0	109	276	84	134	0	0	603	0	1206
	mexico_city		0	0	0	0	0	0	0	0	0	842	842
	santiago		0	0	4	68	51	23	0	0	7	6	159
	sao_paulo		0	0	77	201	95	40	0	0.52	0	3	415
	vizag		0	0	91	48	31	63	0	0.52	28	0	261

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Walking	0	0	0	0.17	0	0.83	0	0	0	0	1

Bicycling scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Bicycling	0	0	0	4	3	8	0	0	0	3	17
auto_rickshaw	delhi	Bicycling	0	0	2	13	3	8	0	0	10	6	42

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Bicycling	0.09	0	0.18	2	0	5	0	0.17	0	8	16
	bangalore		0	0	0	0	0	4	0	0	0	14	17
	belo_horizonte		0	0	0	0.52	0	0	0.37	0	0	5	6
	bogota		0.34	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	14	14
	cape_town		0	0	0	16	0	0.47	0	0.47	0	4	21
	delhi		0	0	0.99	2	0	1	0	0	0	5	9
	mexico_city		0	0	0	0	0	0	0	0	0	14	14
	santiago		0	0	0	0.92	0	0.24	0	0	0	4	5
	sao_paulo		0	0	1	2	0	0.39	0	0	0	5	9
	vizag		0	0	0	0	0	0.33	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Bicycling	0.99	0	0.63	0	3	7	0	0.6	0.47	16	30
	bangalore		0	0	3	0	4	7	0	0	2	10	25
	belo_horizonte		0	0	0.75	0	22	0	0.25	0	0	77	101
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	356	356
	cape_town		5	0	2	0	30	10	0	4	11	162	225
	delhi		0	0	2	0	6	25	0	0	21	68	121
	mexico_city		0	0	0	0	0	0	0	0	0	355	355
	santiago		0.68	0	0.23	0	10	6	0	0	0	50	66
	sao_paulo		0	0	3	0	18	13	0	0	0	119	152
	vizag		0	0	0	0	0	4	0	0	0	7	12

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Bicycling	0	0	6	15	2	9	0	0	13	0	46
	bogota		0.78	0	3	16	17	6	0	0	0.17	0.5	42
	buenos_aires		0	0	0	0	0	0	0	0	0	97	97
	delhi		0	0	10	42	18	30	0	0	36	0	135
	mexico_city		0	0	0	0	0	0	0	0	0	170	170
	vizag		0	0	7	6	5	16	0	0	4	0	38

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Bicycling	0.88	0	0	10	6	5	0	0.42	0.83	4	28
	bangalore		3	2	0	44	55	99	0	0	17	70	290
	belo_horizonte		2	0	0	39	39	0	0	0.6	0	59	139
	bogota		3	2	0	47	32	19	0	0	0	36	138
	buenos_aires		0	0	0	0	0	0	0	0	0	127	127
	cape_town		1	0	0	34	6	1	0	2	1	0	46
	delhi		0	0	0	139	59	138	0	0	258	81	676
	mexico_city		0	0	0	0	0	0	0	0	0	125	125
	santiago		0	0	0	12	3	7	0	0	0.95	15	39
	sao_paulo		0	0	0	107	56	60	0	0.54	0	163	387
	vizag		0	0	0	18	14	51	0	0	5	49	138

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Bicycling	0	0	7	64	31	15	0	2	16	0.28	135
	bangalore		0	0	111	81	37	60	0	0	64	0	353
	belo_horizonte		0	0	53	62	51	0	4	0.25	0	0	170
	bogota		0	3	80	107	61	13	0	0	8	0	272
	buenos_aires		0	0	0	0	0	0	0	0	0	620	620
	cape_town		0	0	7	273	54	24	0	4	14	0	377
	delhi		0	0	80	196	60	93	0	0	420	0	849
	mexico_city		0	0	0	0	0	0	0	0	0	610	610
	santiago		0	0	3	45	33	15	0	0	5	4	105
	sao_paulo		0	0	53	141	67	28	0	0.36	0	2	292
	vizag		0	0	60	32	20	39	0	0.33	17	0	168

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Bicycling	0	0	0	0.17	0	0.83	0	0	0	0	1

Driving scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Driving	0	0	0	13	0.94	4	0	0	0	2	21
auto_rickshaw	delhi	Driving	0	0	0.87	15	1	5	0	0	7	4	34

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Driving	0.06	0	0.11	2	0	4	0	0.1	0	6	12
	bangalore		0	0	0	0	0	2	0	0	0	8	10
	belo_horizonte		0	0	0	0.71	0	0	0.24	0	0	3	4
	bogota		0.15	0	0	0.52	0	0	0	0	0	5	6
	buenos_aires		0	0	0	0	0	0	0	0	0	9	9
	cape_town		0	0	0	18	0	0.5	0	0.5	0	4	23
	delhi		0	0	0.41	2	0	0.62	0	0	0	3	6
	mexico_city		0	0	0	0	0	0	0	0	0	9	9
	santiago		0	0	0	1	0	0.16	0	0	0	3	4
	sao_paulo		0	0	0.82	3	0	0.29	0	0	0	4	7
	vizag		0	0	0	0	0	0.17	0	0	0	2	3

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Driving	1	0	0.63	0	3	9	0	0.62	0.55	22	36
	bangalore		0	0	10	0	13	41	0	0	12	60	136
	belo_horizonte		0	0	1	0	30	0	0.45	0	0	149	180
	bogota		0	0	0.43	0	4	2	0	0	0	40	46
	buenos_aires		0	0	0	0	0	0	0	0	0	637	637
	cape_town		6	0	2	0	34	10	0	4	12	169	238
	delhi		0	0	2	0	7	43	0	0	36	118	206
	mexico_city		0	0	0	0	0	0	0	0	0	640	640
	santiago		1	0	0.29	0	12	11	0	0	0	92	118
	sao_paulo		0	0	3	0	20	19	0	0	0	228	271
	vizag		0	0	0	0	0	53	0	0	0	89	143

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Driving	0	0	0.99	25	0.34	2	0	0	4	0	33
	bogota		0.36	0	1	25	7	4	0	0	0.09	0.33	38
	buenos_aires		0	0	0	0	0	0	0	0	0	28	28
	delhi		0	0	4	42	7	17	0	0	20	0	90
	mexico_city		0	0	0	0	0	0	0	0	0	27	27
	vizag		0	0	1	27	0.9	6	0	0	2	0	37

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Driving	0.58	0	0	11	4	4	0	0.27	0.61	3	23
	bangalore		1	0.33	0	153	18	55	0	0	10	39	277
	belo_horizonte		1	0	0	53	19	0	0	0.39	0	41	115
	bogota		1	0.67	0	73	13	12	0	0	0	23	124
	buenos_aires		0	0	0	0	0	0	0	0	0	79	79
	cape_town		1	0	0	36	6	1	0	2	2	0	49
	delhi		0	0	0	157	24	87	0	0	163	53	485
	mexico_city		0	0	0	0	0	0	0	0	0	85	85
	santiago		0	0	0	16	2	5	0	0	0.65	10	33
	sao_paulo		0	0	0	133	31	44	0	0.36	0	123	331
	vizag		0	0	0	123	4	29	0	0	3	28	187

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Driving	0	0	4	75	19	11	0	2	12	0.23	123
	bangalore		0	0	49	392	16	47	0	0	50	0	554
	belo_horizonte		0	0	32	102	31	0	3	0.2	0	0	168
	bogota		0	1	36	178	27	9	0	0	5	0	257
	buenos_aires		0	0	0	0	0	0	0	0	0	450	450
	cape_town		0	0	8	302	61	26	0	4	15	0	416
	delhi		0	0	40	266	29	71	0	0	320	0	727
	mexico_city		0	0	0	0	0	0	0	0	0	493	493
	santiago		0	0	2	71	19	13	0	0	4	3	112
	sao_paulo		0	0	33	193	40	23	0	0.26	0	2	291
	vizag		0	0	24	276	8	28	0	0.24	13	0	349

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Driving	0	0	0	0.4	0	0.83	0	0	0	0	1

Motorcycling scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Motorcycling	0	0	0	4	3	8	0	0	0	3	17
auto_rickshaw	delhi	Motorcycling	0	0	3	6	1	6	0	0	7	4	27

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Motorcycling	0.03	0	1	0.45	0	2	0	0.03	0	4	7
	bangalore		0	0	0	0	0	4	0	0	0	13	17
	belo_horizonte		0	0	0	0.12	0	0	0.15	0	0	2	2
	bogota		0.1	0	0	0.08	0	0	0	0	0	4	4
	buenos_aires		0	0	0	0	0	0	0	0	0	6	6
	cape_town		0	0	0	4	0	0.22	0	0.22	0	2	6
	delhi		0	0	1	0.73	0	0.56	0	0	0	3	5
	mexico_city		0	0	0	0	0	0	0	0	0	7	7
	santiago		0	0	0	0.21	0	0.11	0	0	0	2	2
	sao_paulo		0	0	7	0.45	0	0.18	0	0	0	2	10
	vizag		0	0	0	0	0	0.2	0	0	0	3	3

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Motorcycling	0.31	0	4	0	0.72	3	0	0.12	0.18	8	16
	bangalore		0	0	3	0	3	7	0	0	2	9	24
	belo_horizonte		0	0	4	0	5	0	0.11	0	0	40	49
	bogota		0	0	0.56	0	0.56	0.39	0	0	0	8	10
	buenos_aires		0	0	0	0	0	0	0	0	0	168	168
	cape_town		2	0	39	0	6	5	0	2	5	76	134
	delhi		0	0	2	0	2	15	0	0	13	43	76
	mexico_city		0	0	0	0	0	0	0	0	0	168	168
	santiago		0.23	0	1	0	2	3	0	0	0	25	32
	sao_paulo		0	0	15	0	4	6	0	0	0	58	83
	vizag		0	0	0	0	0	3	0	0	0	5	8

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Motorcycling	0	0	3	6	0.92	4	0	0	6	0	20
	bogota		0.25	0	6	4	4	3	0	0	0.07	0.26	18
	buenos_aires		0	0	0	0	0	0	0	0	0	24	24
	delhi		0	0	11	15	6	17	0	0	21	0	70
	mexico_city		0	0	0	0	0	0	0	0	0	23	23
	vizag		0	0	7	2	1	8	0	0	2	0	21

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Motorcycling	7	0	0	51	33	49	0	2	8	40	189
	bangalore		3	1	0	46	58	108	0	0	19	76	311
	belo_horizonte		12	0	0	199	176	0	0	5	0	583	975
	bogota		8	3	0	95	64	78	0	0	0	150	397
	buenos_aires		0	0	0	0	0	0	0	0	0	1288	1288
	cape_town		21	0	0	467	74	35	0	49	42	0	687
	delhi		0	0	0	175	68	267	0	0	499	161	1169
	mexico_city		0	0	0	0	0	0	0	0	0	1597	1597
	santiago		0	0	0	67	17	76	0	0	10	163	334
	sao_paulo		0	0	0	426	215	490	0	2	0	1645	2779
	vizag		0	0	0	23	18	103	0	0	10	100	254

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Motorcycling	0	0	52	20	9	8	0	0.63	9	0.19	100
	bangalore		0	0	123	80	36	61	0	0	65	0	364
	belo_horizonte		0	0	352	21	16	0	3	0.15	0	0	392
	bogota		0	0.83	201	31	18	8	0	0	4	0	262
	buenos_aires		0	0	0	0	0	0	0	0	0	380	380
	cape_town		0	0	199	90	16	17	0	3	10	0	335
	delhi		0	0	125	103	28	75	0	0	338	0	669
	mexico_city		0	0	0	0	0	0	0	0	0	441	441
	santiago		0	0	21	15	10	10	0	0	3	3	63
	sao_paulo		0	0	353	43	19	18	0	0.09	0	1	435
	vizag		0	0	114	19	12	37	0	0.31	16	0	198

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Motorcycling	0	0	0	0.08	0	0.82	0	0	0	0	0.9

Public Transport scenario

Casualty mode: Auto_rickshaw

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
auto_rickshaw	bangalore	Public Transport	0	0	0	2	4	6	0	0	0	2	13
auto_rickshaw	delhi	Public Transport	0	0	1	9	4	7	0	0	9	5	35

Casualty mode: Bus

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
bus	accra	Public Transport	0.1	0	0.2	2	0	6	0	0.2	0	8	17
	bangalore		0	0	0	0	0	7	0	0	0	23	30
	belo_horizonte		0	0	0	0.57	0	0	0.39	0	0	5	6
	bogota		0.34	0	0	0.33	0	0	0	0	0	8	8
	buenos_aires		0	0	0	0	0	0	0	0	0	18	18
	cape_town		0	0	0	20	0	0.99	0	0.99	0	8	30
	delhi		0	0	1	2	0	2	0	0	0	7	13
	mexico_city		0	0	0	0	0	0	0	0	0	18	18
	santiago		0	0	0	1	0	0.25	0	0	0	4	5
	sao_paulo		0	0	2	2	0	0.4	0	0	0	5	9
	vizag		0	0	0	0	0	0.36	0	0	0	5	5

Casualty mode: Car

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
car	accra	Public Transport	1	0	0.69	0	4	8	0	0.7	0.5	17	32
	bangalore		0	0	1	0	4	4	0	0	1	6	16
	belo_horizonte		0	0	0.81	0	24	0	0.27	0	0	81	106
	bogota		0	0	0.28	0	2	0.81	0	0	0	16	20
	buenos_aires		0	0	0	0	0	0	0	0	0	243	243
	cape_town		4	0	0.44	0	34	6	0	3	7	101	155
	delhi		0	0	1	0	7	22	0	0	18	57	105
	mexico_city		0	0	0	0	0	0	0	0	0	291	291
	santiago		0.75	0	0.25	0	11	6	0	0	0	52	70
	sao_paulo		0	0	3	0	20	13	0	0	0	123	160
	vizag		0	0	0	0	0	4	0	0	0	7	10

Casualty mode: Cycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
cycle	bangalore	Public Transport	0	0	2	4	1	3	0	0	5	0	15
	bogota		0.78	0	3	16	17	5	0	0	0.17	0.5	42
	buenos_aires		0	0	0	0	0	0	0	0	0	32	32
	delhi		0	0	6	26	20	23	0	0	27	0	102
	mexico_city		0	0	0	0	0	0	0	0	0	35	35
	vizag		0	0	3	3	3	9	0	0	2	0	21

Casualty mode: Motorcycle

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
motorcycle	accra	Public Transport	1	0	0	11	7	6	0	0.5	0.9	4	30
	bangalore		2	0.52	0	17	60	63	0	0	11	44	198
	belo_horizonte		2	0	0	43	42	0	0	0.63	0	61	148
	bogota		3	2	0	47	32	19	0	0	0	36	138
	buenos_aires		0	0	0	0	0	0	0	0	0	83	83
	cape_town		0.5	0	0	8	4	0.47	0	0.66	0.56	0	14
	delhi		0	0	0	100	76	121	0	0	227	70	593
	mexico_city		0	0	0	0	0	0	0	0	0	103	103
	santiago		0	0	0	13	4	8	0	0	1	16	41
	sao_paulo		0	0	0	116	61	62	0	0.6	0	170	410
	vizag		0	0	0	14	14	45	0	0	4	44	121

Casualty mode: Pedestrian

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
pedestrian	accra	Public Transport	0	0	7	72	34	16	0	3	18	0.3	151
	bangalore		0	0	82	58	73	70	0	0	74	0	358
	belo_horizonte		0	0	58	68	57	0	5	0.27	0	0	188
	bogota		0	3	81	107	61	13	0	0	8	0	272
	buenos_aires		0	0	0	0	0	0	0	0	0	810	810
	cape_town		0	0	3	217	122	32	0	6	19	0	398
	delhi		0	0	77	186	101	109	0	0	488	0	961
	mexico_city		0	0	0	0	0	0	0	0	0	694	694
	santiago		0	0	3	50	37	16	0	0	5	4	115
	sao_paulo		0	0	60	158	75	31	0	0.4	0	2	325
	vizag		0	0	55	29	22	41	0	0.34	18	0	167

Casualty mode: Truck

			strike mode
cas_mode	city	scenario	pedestrian	cycle	motorcycle	car	bus	truck	rail	other	unknown	NOV	Total
truck	bogota	Public Transport	0	0	0	0.17	0	0.83	0	0	0	0	1

Who hit whom matrix for all case cities as CSV

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Change in deaths due to injury per billion km

[1] “accra”

accra
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	1.5932	16	1.6315	16	1.5646	15	1.7659	12	1.7936	7	1.5836	16
car	6.9929	33	6.7295	31	6.4576	29	5.6817	38	8.5957	16	6.8081	32
motorcycle	101.3421	31	97.0570	29	95.3123	27	111.6494	24	28.6232	190	98.8108	30
pedestrian	156.0097	150	155.6616	188	151.7308	135	172.4549	124	176.5881	99	155.3350	150

[1] “bangalore”

bangalore
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
auto_rickshaw	92.1449	18	95.7636	16	96.7184	18	198.2307	20	96.0963	18	103.7186	14
bus	4.2294	18	4.2013	17	4.3845	18	4.6911	10	4.3391	17	3.8348	30
car	35.9723	26	37.5245	26	37.1999	26	18.8472	136	36.4811	24	39.4127	16
cycle	63.7997	21	64.4777	17	53.2807	45	177.6915	32	61.7616	20	55.2751	15
motorcycle	42.7404	302	42.4479	286	42.6131	290	79.1930	276	41.3004	311	49.7341	198
pedestrian	247.0515	373	227.6862	497	243.4236	353	511.4631	554	247.2966	365	207.4795	357

[1] “belo_horizonte”

belo_horizonte
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.2848	6	0.2924	6	0.2972	6	0.2974	4	0.2482	2	0.2833	6
car	19.8573	106	19.9191	100	19.8061	100	16.4790	180	21.4955	49	20.0100	106
motorcycle	167.4916	149	166.4729	144	164.2959	140	204.2147	114	75.0263	974	167.7788	149
pedestrian	127.2956	188	113.6129	254	123.1692	170	145.9126	168	453.5122	392	126.8101	188

[1] “bogota”

bogota
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.1141	8	0.1141	8	0.1141	8	0.1432	6	0.1361	4	0.1139	8
car	2.2987	19	2.3019	19	2.2987	19	1.7059	46	2.8240	10	2.2999	19
cycle	21.5193	44	20.4378	41	21.5193	44	29.3678	37	17.5373	17	20.6460	42
motorcycle	22.1321	139	22.1483	139	22.1321	139	32.0587	123	11.6639	398	22.1403	139
pedestrian	60.5898	272	60.3390	276	60.5898	272	87.6160	256	105.7155	263	60.7377	273
truck	11.4974	1	11.4974	1	11.4974	1	11.5383	1	11.5589	1	11.4974	1

[1] “buenos_aires”

buenos_aires
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.6988	14	0.7161	14	0.7225	14	0.7731	9	0.7740	6	0.6484	18
car	61.1450	366	61.4581	358	61.5416	356	54.2623	637	69.6694	168	65.8367	243
cycle	115.5091	41	116.0417	38	100.5231	97	122.1301	28	127.8308	24	122.1734	32
motorcycle	160.6048	130	161.7265	126	160.5541	127	174.8106	79	105.1887	1288	177.5841	83
pedestrian	414.1778	638	393.8420	802	416.0168	620	440.9701	450	455.0914	380	392.3278	810

[1] “cape_town”

cape_town
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.7929	24	0.7062	21	0.7079	20	0.7273	22	0.5554	6	0.5526	31
car	4.4017	237	4.4346	232	4.3760	224	4.3991	237	6.2192	135	5.3312	155
motorcycle	69.0597	49	66.1313	46	64.5369	45	67.6503	48	12.2831	688	68.4482	14
pedestrian	48.7691	417	49.4196	525	47.1444	376	48.7336	416	69.1066	335	42.1536	399

[1] “delhi”

delhi
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
auto_rickshaw	59.8193	42	62.0639	36	60.3362	42	77.0178	33	53.8157	27	58.5887	35
bus	0.9713	9	1.0067	9	0.9755	9	1.1128	6	1.2743	6	0.8210	12
car	12.4116	122	12.4710	118	12.4787	122	10.2923	206	13.3753	75	12.9799	105
cycle	104.1834	113	103.9845	101	103.0484	136	124.6723	90	95.5068	70	108.2150	102
motorcycle	77.5353	682	77.4271	640	77.4363	675	94.0754	484	58.1846	1170	81.8106	594
pedestrian	319.7208	865	288.4147	1206	320.3694	849	368.1212	726	316.8820	669	310.8941	961

[1] “mexico_city”

mexico_city
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.6950	14	0.6774	13	0.7247	14	0.7275	9	0.8425	7	0.6537	18
car	24.7889	366	24.7900	354	24.9012	355	21.3133	640	28.7773	168	26.0122	291
cycle	80.0063	41	80.6107	36	64.6626	170	85.5074	27	90.1352	23	81.2315	35
motorcycle	74.8441	130	75.5529	124	75.0346	125	81.7233	85	48.6122	1597	78.4383	103
pedestrian	127.8062	638	121.2015	842	128.8298	610	133.6560	493	136.1972	441	125.5729	694

[1] “santiago”

santiago
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.5486	5	0.5651	5	0.5738	5	0.7137	4	0.5657	2	0.5445	5
car	18.5959	69	18.8847	66	19.1033	67	15.2547	116	20.0617	31	18.9839	70
motorcycle	78.2985	41	77.8651	39	76.6405	38	106.5275	34	38.7430	333	80.3484	42
pedestrian	114.6387	114	105.1563	159	112.9570	105	146.6246	112	106.4779	62	115.3116	115

[1] “sao_paulo”

sao_paulo
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.1726	9	0.1764	9	0.1604	8	0.2269	8	0.4476	9	0.1715	9
car	6.1578	160	6.1610	156	6.2070	153	5.8308	270	7.9054	83	6.1425	159
motorcycle	116.5738	412	115.1276	400	115.4892	387	139.4259	331	50.3074	2778	116.2719	410
pedestrian	52.2951	322	51.6887	417	51.0190	291	64.1397	291	126.3911	434	52.6078	326

[1] “vizag”

vizag
stage_mode	bl	bl_count	w_sc	w_sc_count	bi_sc	bi_sc_count	car_sc	car_sc_count	mc_sc	mc_sc_count	bus_sc	bus_sc_count
bus	0.4246	5	0.4424	5	0.4332	5	0.3623	2	0.4529	3	0.3917	5
car	19.6205	12	19.2139	11	18.2546	11	14.1357	142	22.1895	8	21.2563	11
cycle	42.5474	24	39.2333	18	39.2910	38	125.4638	37	45.5156	20	40.0589	20
motorcycle	29.2577	141	29.5686	131	29.1848	137	78.2662	187	24.2594	254	29.8546	121
pedestrian	117.0945	173	105.4625	262	116.6509	168	350.2017	349	145.6165	197	108.0924	165

Change in deaths due to injury per Billion km across cities

Injury per billion km across all cities
stage_mode	bisc_accra	bisc_bangalore	bisc_belo_horizonte	bisc_bogota	bisc_buenos_aires	bisc_cape_town	bisc_delhi	bisc_mexico_city	bisc_santiago	bisc_sao_paulo	bisc_vizag	bl_accra	bl_bangalore	bl_belo_horizonte	bl_bogota	bl_buenos_aires	bl_cape_town	bl_delhi	bl_mexico_city	bl_santiago	bl_sao_paulo	bl_vizag	bssc_accra	bssc_bangalore	bssc_belo_horizonte	bssc_bogota	bssc_buenos_aires	bssc_cape_town	bssc_delhi	bssc_mexico_city	bssc_santiago	bssc_sao_paulo	bssc_vizag	csc_accra	csc_bangalore	csc_belo_horizonte	csc_bogota	csc_buenos_aires	csc_cape_town	csc_delhi	csc_mexico_city	csc_santiago	csc_sao_paulo	csc_vizag	mcsc_accra	mcsc_bangalore	mcsc_belo_horizonte	mcsc_bogota	mcsc_buenos_aires	mcsc_cape_town	mcsc_delhi	mcsc_mexico_city	mcsc_santiago	mcsc_sao_paulo	mcsc_vizag	wsc_accra	wsc_bangalore	wsc_belo_horizonte	wsc_bogota	wsc_buenos_aires	wsc_cape_town	wsc_delhi	wsc_mexico_city	wsc_santiago	wsc_sao_paulo	wsc_vizag
bus	1.5646	4.3845	0.2972	0.1141	0.7225	0.7079	0.9755	0.7247	0.5738	0.1604	0.4332	1.5932	4.2294	0.2848	0.1141	0.6988	0.7929	0.9713	0.6950	0.5486	0.1726	0.4246	1.5836	3.8348	0.2833	0.1139	0.6484	0.5526	0.8210	0.6537	0.5445	0.1715	0.3917	1.7659	4.6911	0.2974	0.1432	0.7731	0.7273	1.1128	0.7275	0.7137	0.2269	0.3623	1.7936	4.3391	0.2482	0.1361	0.7740	0.5554	1.2743	0.8425	0.5657	0.4476	0.4529	1.6315	4.2013	0.2924	0.1141	0.7161	0.7062	1.0067	0.6774	0.5651	0.1764	0.4424
car	6.4576	37.1999	19.8061	2.2987	61.5416	4.3760	12.4787	24.9012	19.1033	6.2070	18.2546	6.9929	35.9723	19.8573	2.2987	61.1450	4.4017	12.4116	24.7889	18.5959	6.1578	19.6205	6.8081	39.4127	20.0100	2.2999	65.8367	5.3312	12.9799	26.0122	18.9839	6.1425	21.2563	5.6817	18.8472	16.4790	1.7059	54.2623	4.3991	10.2923	21.3133	15.2547	5.8308	14.1357	8.5957	36.4811	21.4955	2.8240	69.6694	6.2192	13.3753	28.7773	20.0617	7.9054	22.1895	6.7295	37.5245	19.9191	2.3019	61.4581	4.4346	12.4710	24.7900	18.8847	6.1610	19.2139
motorcycle	95.3123	42.6131	164.2959	22.1321	160.5541	64.5369	77.4363	75.0346	76.6405	115.4892	29.1848	101.3421	42.7404	167.4916	22.1321	160.6048	69.0597	77.5353	74.8441	78.2985	116.5738	29.2577	98.8108	49.7341	167.7788	22.1403	177.5841	68.4482	81.8106	78.4383	80.3484	116.2719	29.8546	111.6494	79.1930	204.2147	32.0587	174.8106	67.6503	94.0754	81.7233	106.5275	139.4259	78.2662	28.6232	41.3004	75.0263	11.6639	105.1887	12.2831	58.1846	48.6122	38.7430	50.3074	24.2594	97.0570	42.4479	166.4729	22.1483	161.7265	66.1313	77.4271	75.5529	77.8651	115.1276	29.5686
pedestrian	151.7308	243.4236	123.1692	60.5898	416.0168	47.1444	320.3694	128.8298	112.9570	51.0190	116.6509	156.0097	247.0515	127.2956	60.5898	414.1778	48.7691	319.7208	127.8062	114.6387	52.2951	117.0945	155.3350	207.4795	126.8101	60.7377	392.3278	42.1536	310.8941	125.5729	115.3116	52.6078	108.0924	172.4549	511.4631	145.9126	87.6160	440.9701	48.7336	368.1212	133.6560	146.6246	64.1397	350.2017	176.5881	247.2966	453.5122	105.7155	455.0914	69.1066	316.8820	136.1972	106.4779	126.3911	145.6165	155.6616	227.6862	113.6129	60.3390	393.8420	49.4196	288.4147	121.2015	105.1563	51.6887	105.4625
auto_rickshaw	0.0000	96.7184	0.0000	0.0000	0.0000	0.0000	60.3362	0.0000	0.0000	0.0000	0.0000	0.0000	92.1449	0.0000	0.0000	0.0000	0.0000	59.8193	0.0000	0.0000	0.0000	0.0000	0.0000	103.7186	0.0000	0.0000	0.0000	0.0000	58.5887	0.0000	0.0000	0.0000	0.0000	0.0000	198.2307	0.0000	0.0000	0.0000	0.0000	77.0178	0.0000	0.0000	0.0000	0.0000	0.0000	96.0963	0.0000	0.0000	0.0000	0.0000	53.8157	0.0000	0.0000	0.0000	0.0000	0.0000	95.7636	0.0000	0.0000	0.0000	0.0000	62.0639	0.0000	0.0000	0.0000	0.0000
cycle	0.0000	53.2807	0.0000	21.5193	100.5231	0.0000	103.0484	64.6626	0.0000	0.0000	39.2910	0.0000	63.7997	0.0000	21.5193	115.5091	0.0000	104.1834	80.0063	0.0000	0.0000	42.5474	0.0000	55.2751	0.0000	20.6460	122.1734	0.0000	108.2150	81.2315	0.0000	0.0000	40.0589	0.0000	177.6915	0.0000	29.3678	122.1301	0.0000	124.6723	85.5074	0.0000	0.0000	125.4638	0.0000	61.7616	0.0000	17.5373	127.8308	0.0000	95.5068	90.1352	0.0000	0.0000	45.5156	0.0000	64.4777	0.0000	20.4378	116.0417	0.0000	103.9845	80.6107	0.0000	0.0000	39.2333
truck	0.0000	0.0000	0.0000	11.4974	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	11.4974	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	11.4974	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	11.5383	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	11.5589	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	11.4974	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000	0.0000

# of deaths due to injury per 100,000 people

[1] “accra”

accra
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.54	0.54	0.51	0.40	0.24	0.54	2.77
car	1.11	1.04	0.98	1.28	0.54	1.08	6.03
motorcycle	1.04	0.98	0.91	0.81	6.40	1.01	11.15
pedestrian	5.06	6.34	4.55	4.18	3.34	5.06	28.53
Total	7.75	8.90	6.95	6.67	10.52	7.69	48.48

[1] “bangalore”

bangalore
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
auto_rickshaw	0.28	0.25	0.28	0.31	0.28	0.22	1.62
bus	0.28	0.26	0.28	0.15	0.26	0.46	1.69
car	0.40	0.40	0.40	2.09	0.37	0.25	3.91
cycle	0.32	0.26	0.69	0.49	0.31	0.23	2.30
motorcycle	4.65	4.40	4.46	4.25	4.79	3.05	25.60
pedestrian	5.74	7.65	5.43	8.53	5.62	5.49	38.46
Total	11.67	13.22	11.54	15.82	11.63	9.70	73.58

[1] “belo_horizonte”

belo_horizonte
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.15	0.15	0.15	0.10	0.05	0.15	0.75
car	2.70	2.54	2.54	4.58	1.25	2.70	16.31
motorcycle	3.79	3.66	3.56	2.90	24.78	3.79	42.48
pedestrian	4.78	6.46	4.33	4.27	9.97	4.78	34.59
Total	11.42	12.81	10.58	11.85	36.05	11.42	94.13

[1] “bogota”

bogota
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.14	0.14	0.14	0.10	0.07	0.14	0.73
car	0.32	0.32	0.32	0.78	0.17	0.32	2.23
cycle	0.75	0.70	0.75	0.63	0.29	0.72	3.84
motorcycle	2.37	2.37	2.37	2.10	6.78	2.37	18.36
pedestrian	4.63	4.70	4.63	4.36	4.48	4.65	27.45
truck	0.02	0.02	0.02	0.02	0.02	0.02	0.12
Total	8.23	8.25	8.23	7.99	11.81	8.22	52.73

[1] “buenos_aires”

buenos_aires
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.19	0.19	0.19	0.12	0.08	0.25	1.02
car	5.01	4.90	4.87	8.72	2.30	3.33	29.13
cycle	0.56	0.52	1.33	0.38	0.33	0.44	3.56
motorcycle	1.78	1.72	1.74	1.08	17.63	1.14	25.09
pedestrian	8.73	10.98	8.49	6.16	5.20	11.09	50.65
Total	16.27	18.31	16.62	16.46	25.54	16.25	109.45

[1] “cape_town”

cape_town
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.15	0.13	0.13	0.14	0.04	0.20	0.79
car	1.51	1.48	1.43	1.51	0.86	0.99	7.78
motorcycle	0.31	0.29	0.29	0.31	4.38	0.09	5.67
pedestrian	2.66	3.34	2.39	2.65	2.13	2.54	15.71
Total	4.63	5.24	4.24	4.61	7.41	3.82	29.95

[1] “delhi”

delhi
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
auto_rickshaw	0.36	0.31	0.36	0.28	0.23	0.30	1.84
bus	0.08	0.08	0.08	0.05	0.05	0.10	0.44
car	1.03	1.00	1.03	1.75	0.64	0.89	6.34
cycle	0.96	0.86	1.15	0.76	0.59	0.86	5.18
motorcycle	5.78	5.42	5.72	4.10	9.91	5.03	35.96
pedestrian	7.33	10.22	7.19	6.15	5.67	8.14	44.70
Total	15.54	17.89	15.53	13.09	17.09	15.32	94.46

[1] “mexico_city”

mexico_city
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.09	0.09	0.09	0.06	0.05	0.12	0.50
car	2.44	2.36	2.37	4.27	1.12	1.94	14.50
cycle	0.27	0.24	1.13	0.18	0.15	0.23	2.20
motorcycle	0.87	0.83	0.83	0.57	10.66	0.69	14.45
pedestrian	4.26	5.62	4.07	3.29	2.94	4.63	24.81
Total	7.93	9.14	8.49	8.37	14.92	7.61	56.46

[1] “santiago”

santiago
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.10	0.10	0.10	0.08	0.04	0.10	0.52
car	1.32	1.26	1.28	2.22	0.59	1.34	8.01
motorcycle	0.79	0.75	0.73	0.65	6.38	0.80	10.10
pedestrian	2.18	3.05	2.01	2.15	1.19	2.20	12.78
Total	4.39	5.16	4.12	5.10	8.20	4.44	31.41

[1] “sao_paulo”

sao_paulo
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.06	0.06	0.05	0.05	0.06	0.06	0.34
car	1.02	0.99	0.97	1.72	0.53	1.01	6.24
motorcycle	2.62	2.55	2.46	2.11	17.69	2.61	30.04
pedestrian	2.05	2.66	1.85	1.85	2.76	2.08	13.25
Total	5.75	6.26	5.33	5.73	21.04	5.76	49.87

[1] “vizag”

vizag
stage_mode	bl	w_sc	bi_sc	car_sc	mc_sc	bus_sc	Total
bus	0.39	0.39	0.39	0.16	0.23	0.39	1.95
car	0.93	0.85	0.85	11.03	0.62	0.85	15.13
cycle	1.86	1.40	2.95	2.87	1.55	1.55	12.18
motorcycle	10.95	10.18	10.64	14.53	19.73	9.40	75.43
pedestrian	13.44	20.35	13.05	27.11	15.30	12.82	102.07
Total	27.57	33.17	27.88	55.70	37.43	25.01	206.76

Injrury Outcomes - WHW matrices

18 August, 2020

Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix of each case study (by baseline + scenarios)

Accra

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Bangalore

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Belo Horizonte

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Bogota

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Buenos Aires

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Cape Town

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Delhi

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Mexico City

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Santiago

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Sao Paulo

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW

Public Transport WHW

Vizag

Baseline WHW

Walking WHW

Bicycling WHW

Driving WHW

Motorcyling WHW